We use six word similarity datasets:
(1) RareWord [1]}
(2) SimLex [2]}
(3) MTurk [3]}
(4) MEN [4]}
(5) WordSim [5]}, and
(6) Simverb [5]}.
The task is scored by Spearman’s \(\rho \) , which computes the correlation between gold similarity and the similarity obtained from generated vectors.
For the word cluster task, we use
(1) AP [7]} and
(2) BLESS [8]}.
The generated word vectors are first clustered by K-means [9]} and then scored by the cluster purity.
